A Generalized Review Of Human-Computer Interaction Using Electromyogram Signals

Abstract

Abstract: The primary use of human computer interaction is in smart home as well as in industry 4.0. Communication between computer and human can be benefitted by a spontaneous interchange of emotions. The objective of the work is to provide an idea regarding the process of identifying various emotions using facial electromyography signals through electrode placement method. Here one contemplated the facial electromyography on masticatory function assessment and emotional articulation monitoring. Furthermore, we have also presented the measurement of facial electromyography including selection of electrode, location of electrode and reduction of noise. Facial emotions have significant effect on cognitive process of the human brain such as doubt perception, ability to solve problems, learning capabilities, emotional interactions and memory which is beneficial while interacting with patients suffering from depression and stress. The patients are guided through their rehabilitation process by rehabilitation application while accustoming itself to patient’s emotional state or wellbeing, which results in high motivation as well as in a quicker. This review paper will motivate and inspire researchers and engineers for finding more suitable system for various applications.